Epitope mapping of epidermal growth factor receptor (EGFR) in lung cancer using immunohistochemistry: Fine tuning the protocols

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21162-21162
Author(s):  
J. TIMAR ◽  
K. Derecskei ◽  
B. Dome ◽  
J. Moldvay
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Ligand Binding ◽  
Lung Adenocarcinoma ◽  
Growth Factor Receptor ◽  
Fine Tuning ◽  
Antigen Retrieval ◽  
Egfr Expression ◽  
Lung Adenocarcinomas ◽  
Cancer Tissues

21162 Background: Until now, immunohistochemistry was not able to become a reliable diagnostic approach for EGFR targeted therapies. The golden standard of the determination of EGFR protein expression in paraffin embedded cancer tissues is the EGFRpharmDXtm kit. Methods: Here we show data based on analysis of 110 lung adenocarcinomas, that the recommended protocol may not be optimal for ideal performance of the immunodetection, since microwave retrieval, extended primary antibody-incubation time and replacement of the developer reagent converted four EGFR-negative tumor into EGFR protein positive out of eight lung adenocarcinoma cases. Protocol modification improved the performance of another widely used EGFR-kit, Ventana's CONFIRM, where replacement of the protease antigen retrieval with microwave cooking converted several EGFR-negative tumors to strongly positive. Meanwhile both EGFR-kits detect EGFR expression (juxtamembrane domain) but do not provide information on the expression of epitopes critical from the point of view of targeted therapy. Results: We have developed two protocols, which can detect the ligand-binding (AB-10, BioMarkers) and C-terminal (AB- 335, Biogenex) cytoplasmic domains of the EGFR protein in paraffin embedded lung cancer tissues. We have shown, based on the analysis of more than 110 lung adenocarcinoma tissues, that the ligand binding domain of EGFR is rarely expressed while the C-terminal domain is ubiquitously expressed in EGFR-PharmDX and CONFIRM-positive cancers. The biological activity of EGFR can be characterized either by autophosphorylation of the receptor or by detection of divers phosphorylated downstream signaling components. We have found that unlike p1086 (detected by a Zymed antibody), the p1173 site of EGFR (identified by a rabbit monoclonal of Epitomics) can be detected 27/110 paraffin embedded lung adenocarcinomas. Conclusions: Using the tested antibody panel we can reliably determine the EGFR protein expression in paraffin embedded (lung)cancer tissues. This work was supported by Ministry of Education (NKFP1a-0024–05). No significant financial relationships to disclose.

scholarly journals Epidermal growth factor receptor protein expression in lung cancer and survival analysis

2018 ◽  
Vol 5 (3) ◽  
pp. 550
Author(s):  
Shivalingaswamy Salimath ◽  
Jayaraj B. S. ◽  
Mahesh P. A. ◽  
M. D. Majeed Pasha ◽  
Lokesh K. S. ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Epidermal Growth Factor Receptor ◽  
Multivariate Analysis ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Performance Status ◽  
Growth Factor Receptor ◽  
Egfr Expression ◽  
Epidermal Growth ◽  
Nsclc Patients

Background: Epidermal Growth Factor Receptor (EGFR) is one of the important molecules involved in lung cancer initiation and progression. Studies on over expression of EGFR and its survival in relation with Non-small cell lung cancer (NSCLC) patients have yielded controversial results. Prevalence of EGFR expression in NSCLC patients and 6-month survival in south Indian population is unknown.Methods: We carried out a prospective study in tertiary hospital. Diagnosed patients with NSCLC were included in the study and were interviewed with questionnaire containing demography and investigations like Chest X-ray, CT thorax, Bronchoscopy were recorded. EGFR expression analysis was done for all patients and were followed up monthly for 6 months and details of survival and treatment were collected. Cox regression analysis was used to assess their survival.Results: 50 patients with NSCLC were included. Forty-four (88%) were men, median age of study group was 65 years. Twenty-seven patients (54%) had Adenocarcinoma, 14 patients (28%) had Squamous cell carcinoma, 7 patients (14%) had poorly differentiated carcinoma and 2 patients (4%) had large cell carcinoma. Thirty-four (68%) samples were positive for EGFR expression. On multivariate analysis we found patients who took chemotherapy and with good performance status (Karnofsky score >65 and Eastern Cooperative Oncology Group >2.5) had better survival at 6 months.Conclusions: Patients with EGFR positivity had better survival with chemotherapy but worse with radiotherapy. Patients who took chemotherapy and had good performance status had better survival on multivariate analysis. We didn’t find any correlation between EGFR positivity and poor survival.

scholarly journals Aberrant Fucosylation of Saliva Glycoprotein Defining Lung Adenocarcinomas Malignancy

2021 ◽  
Author(s):  
Shuang Yang ◽  
Ziyuan Gao ◽  
Zhen Wu ◽  
Ying Han ◽  
Xumin Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Early Diagnosis ◽  
Lung Adenocarcinoma ◽  
Tumor Progression ◽  
Cancer Patients ◽  
Solid Phase ◽  
Clinical Specimens ◽  
Aberrant Glycosylation ◽  
Lung Adenocarcinomas ◽  
Core Fucosylation

Aberrant glycosylation is a hallmark of cancer found during tumorigenesis and tumor progression. Lung cancer induced by oncogene mutations has been detected in the patient's saliva, and saliva glycosylation has been altered. Saliva contains highly glycosylated glycoproteins, the characteristics of which may be related to various diseases. Therefore, elucidating cancer-specific glycosylation in the saliva of healthy, non-cancer, and cancer patients can reveal whether tumor glycosylation has unique characteristics for early diagnosis. In this work, we used a solid-phase chemoenzymatic method to study the glycosylation of saliva glycoproteins in clinical specimens. The results showed that the alpha1,6-core fucosylation of glycoproteins in cancer patients was significant increased. The fucosylation of alpha1,2 or alpha1,3 is also increased in cancer patients. We further analyzed the expression of fucosyltransferases responsible for alpha1,2, alpha1,3, alpha1,6 fucosylation. The fucosylation of the saliva of cancer patients is drastically different from that of non-cancer or health controls. These results indicate that the glycoform of saliva fucosylation distinguishes lung cancer from other diseases, and this feature has the potential to diagnose lung adenocarcinoma.

scholarly journals Competing endogenous RNA (ceRNA) hypothetic model based on comprehensive analysis of long non-coding RNA expression in lung adenocarcinoma

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8024 ◽  
Author(s):  
Xiwen Wang ◽  
Rui Su ◽  
Qiqiang Guo ◽  
Jia Liu ◽  
Banlai Ruan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Inverse Correlation ◽  
The Cancer Genome Atlas ◽  
Competing Endogenous Rna ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Non Coding Rna ◽  
Pathway Analyses ◽  
Lung Adenocarcinomas ◽  
Cancer Tissues

Background Non-small cell lung cancer (NSCLC) is a major subtype of lung cancer with high malignancy and bad prognosis, consisted of lung adenocarcinomas (LUAD) and lung squamous cell carcinomas (LUSC) chiefly. Multiple studies have indicated that competing endogenous RNA (ceRNA) network centered long noncoding RNAs (lncRNAs) can regulate gene expression and the progression of various cancers. However, the research about lncRNAs-mediated ceRNA network in LUAD is still lacking. Methods In this study, we analyzed the RNA-seq database from The Cancer Genome Atlas (TCGA) and obtained dysregulated lncRNAs in NSCLC, then further identified survival associated lncRNAs through Kaplan–Meier analysis. Quantitative real time PCR (qRT-PCR) was performed to confirm their expression in LUAD tissues and cell lines. The ceRNA networks were constructed based on DIANA-TarBase and TargetScan databases and visualized with OmicShare tools. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to investigate the potential function of ceRNA networks. Results In total, 1,437 and 1,699 lncRNAs were found to be up-regulated in LUAD and LUSC respectively with 895 lncRNAs overlapping (|log2FC| > 3, adjusted P value <0.01). Among which, 222 lncRNAs and 46 lncRNAs were associated with the overall survival (OS) of LUAD and LUSC, and 18 out of 222 up-regulated lncRNAs were found to have inverse correlation with LUAD patients’ OS (|log2FC| > 3, adjusted P value < 0.02). We selected 3 lncRNAs (CASC8, LINC01842 and VPS9D1-AS1) out of these 18 lncRNAs and confirmed their overexpression in lung cancer tissues and cells. CeRNA networks were further constructed centered CASC8, LINC01842 and VPS9D1-AS1 with 3 miRNAs and 100 mRNAs included respectively. Conclusion Through comprehensively analyses of TCGA, our study identified specific lncRNAs as candidate diagnostic and prognostic biomarkers for LUAD. The novel ceRNA network we created provided more insights into the regulatory mechanisms underlying LUAD.

Further evaluation of 11C-PD153035 as a molecular imaging probe for the assessment of the epidermal growth factor receptor status in non-small cell lung cancer patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 3590-3590
Author(s):  
J. Yu ◽  
N. Liu ◽  
M. Hu ◽  
X. Song ◽  
L. Xie ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Growth Factor Receptor ◽  
Small Cell ◽  
Small Cell Lung ◽  
Protein Expression Level ◽  
Tumor Mass ◽  
Epidermal Growth ◽  
Nsclc Patients ◽  
Exon 19

3590 Background: Epidermal growth factor receptor (EGFR) plays a key role in tumorgenosis and is therefore an important target for new therapeutic and prognostic strategies. Our pilot study has demonstrated that 11C-PD153035, a highly EGFR selective tracer for positron emission tomography (PET), accumulated in tumor mass of non-small cell lung cancer (NSCLC) and the tracer uptake correlated with EGFR expression. Here, we further evaluate correlation between the intensity of 11C-PD153035 uptake and EGFR protein expression level and gene mutation. Methods: Fourteen patients (45–71y, mean 59.2±9.2 y, Male: Female = 8:6, squamous carcinoma: adenocarcinoma = 9:5) with pathologically proved NSCLC were examined with PET using 11C-PD153035 one week before surgery. Radioactivity concentrations, derived from regions of interest (ROI), were analyzed mathematically to maximum standardized uptake value (SUVmax). The EGFR protein expression of surgical specimen was utilized by immunohistochemistry (IHC) with a three-tier system intensity scored and Western Blot assay. The EGFR genetic alterations in exon 19 and 21 were examined by direct sequencing of polymerase chain reaction (PCR) products. Results: 11C-PD153035 uptake was observed in 9 out of 14 NSCLC patients (mean SUV 3.94±1.06, range 0.8–5.9) and the biodistribution study further demonstrated accumulation of radioactivity in the tumor mass. The SUVmax of 11C-PD153035 molecular images did not correlate with tumor size and injection dose of the tracer. A closely correlation between SUVmax and EGFR protein expression as determined by IHC (r = 0.84, p = 0.005) was observed but not with the protein expression level of Western Blot analysis (r = 0.442, p = 0.114), as well as EGFR exon 19 (r = -0.078, p = 0.790) or exon 21 (r = 0.118, p = 0.689) gene mutation. With ROC analysis according to IHC intensity, the cut-off value of SUVmax was 2.45. Conclusions: PET with 11C-PD153035 might therefore be used to visualize EGFR pattern on tumor in NSCLC patients and for individualized planning of therapeutic strategies with EGFR targeted drugs, especially small-molecule TKIs (gefitinib and erlotinib) which targeting the intracellular EGFR tyrosine kinase domain as PD153035. No significant financial relationships to disclose.

Coexistence of rearranged during transfection (RET) variants and activating EGFR mutations with their molecular implications in lung adenocarcinomas.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20610-e20610
Author(s):  
Jeong-Oh Kim ◽  
Jung-Young Shin ◽  
Min Young Kim ◽  
Kyoung Hwa Son ◽  
Chan-Kwon Jung ◽  
...  
Keyword(s):  
Protein Expression ◽  
Lung Adenocarcinoma ◽  
Egfr Mutation ◽  
Fusion Gene ◽  
Signaling Molecules ◽  
Egfr Mutations ◽  
Downstream Signaling ◽  
Tumor Tissues ◽  
Resected Tumor ◽  
Lung Adenocarcinomas

e20610 Background: RET rearrangements have been identified in 1-2% of lung adenocarcinomas. The most common fusion is the KIF5B-RET, the function and roles of the RET fusion oncogene, and its downstream signaling molecules remain unclear. Methods: We constructed a tissue microarray (TMA) comprising 581 resected tumor tissues from lung adenocarcinoma patients and investigated them using FISH with RET break-apart and KIF5B-RET SY translocation probes. NanoString’s nCounter technology was used to assay RETtranscripts. We evaluated the protein expressions of RET and RET-related signaling molecules, including p-AKT and p-ERK, using TMA-based IHC staining. Results: Using FISH, we identified 51 cases (8.8%) of RET variants and 10 cases (1.7%) of KIF5B-RET fusion genes among the 581 cases. RET protein expression was lower in the group harboring KIF5B-RET fusion gene than that in the group harboring a wild type RET gene. We found the activating EGFR mutations in 11 (21.6%) cases of 51 RET variants. For the group with KIF5B-RET fusion gene, the expression of p-ERK was significantly lower in EGFR mutation subgroup with presence of RET protein compared to EGFR mutation subgroup with absence of RET protein. For the group with RET rearrangement, there were significant differences in the expression level of p-AKT (P = 0.028) and, p-ERK protein expression was remarkably increased, especially in cases with no RET protein expression. Conclusions: Taken together, the expression of p-ERK protein was meaningfully increased in the RET variants group regardless of RET protein expression. This result suggests that RET inhibitors combined with ERK inhibitors may be an effective treatment strategy for lung adenocarcinoma patients harboring the RET variants.

scholarly journals TERT Mutation was Associated with the Risk of Recurrence in Lung Adenocarcinoma with A Micropapillary Pattern

2020 ◽  
Author(s):  
Fenfang Wang ◽  
Lu Xu ◽  
Qing Hao ◽  
Chenghui Li ◽  
Qihuan Wu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
High Risk ◽  
Lung Adenocarcinoma ◽  
Early Stage ◽  
Growth Factor Receptor ◽  
Egfr Mutations ◽  
Molecular Characteristics ◽  
Risk Of Recurrence ◽  
Tert Mutation ◽  
Micropapillary Pattern

Abstract Background: Lung adenocarcinoma with a micropapillary pattern (MPPAC) is the histological subtype of lung cancer. It has attracted increasing attention, especially regarding its association with poor prognosis, including the predisposition towards recurrence and metastasis. Although MPPAC has been described in early-stage cases, only a few studies have reported the correlation between disease-specific prognosis and gene mutation of MPPAC. This study aimed to clarify the common genetic mutations and the prognostic characteristics in MPPAC patients.Methods: A total of 17 patients whose surgical pathology was defined as MPPAC were followed up, the molecular characteristics were elucidated by next-generation sequencing, and the prognostic characteristics were analyzed. Results: Epidermal growth factor receptor (EGFR) mutations were identified in 11/17 (65%) of patients. TP53 alterations were identified in 10/17 (59%). Other common mutations include ATM (18%), KRAS (18%), SDHA (18%), and TERT (18%). MPPAC patients harboring EGFR and TERT mutations were at a high risk of tumor recurrence, while TP53 might be associated with a low risk of recurrence. Conclusions: TERT mutation was more frequently harbored in MPPAC patients than in the other histological type of lung cancer, and such patients were at a high risk of recurrence. So TERT mutation might be associated with adverse prognosis in MPPAC patients.

scholarly journals Comparison of cofilin‑1 and Twist‑1 protein expression in human non‑small cell lung cancer tissues

2019 ◽  
Author(s):  
Chun‑Yuan Chang ◽  
Shi‑Long Chang ◽  
Jyh‑Der Leu ◽  
Yu‑Chan Chang ◽  
Michael Hsiao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Twist 1 ◽  
Cancer Tissues
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